# Senior Machine Learning Engineer (All genders) at Zalando

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Build and optimize end-to-end ML pipelin

- **Company:** Zalando (https://jobs.trythestack.co/companies/zalando)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** PySpark, ML Ops, AWS, SageMaker, CloudFormation, Apache Airflow, Python, PyTorch, Deep learning, Machine learning, Data quality, Feature stores, Real-time feature engineering, Kubernetes, Recommendation systems, Workflow orchestration
- **Posted by employer:** 2026-08-10
- **Added to The Stack:** 2026-08-10
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://zalando.wd3.myworkdayjobs.com/ZalandoSiteWD/job/Berlin/Senior-Machine-Learning-Engineer--All-genders-_2724647-1 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-machine-learning-engineer-all-genders-zalando

## About the role

Responsibilities:
- Build and optimize end-to-end ML pipelines for training, deployment and monitoring of recommendation models
- Productionize models by orchestrating workflows with Apache Airflow for batch and real-time inference
- Deploy scalable, reliable inference solutions on AWS (SageMaker, CloudFormation) and manage operational concerns
- Improve data quality, real-time feature engineering and integrate with feature stores
- Collaborate with Applied Scientists, Product and Software Engineers to deliver personalized experiences
- Monitor model performance and implement retraining and validation processes

Requirements:
- 5+ years of experience with PySpark, ML engineering/ML Ops and production ML deployments
- Strong Python skills and deep learning framework experience (e.g., PyTorch)
- Hands-on experience with AWS (SageMaker, CloudFormation) and workflow orchestration (Apache Airflow)
- Experience with Databricks or similar platforms for scalable data processing and inference
- Familiarity with feature stores, real-time feature engineering and Kubernetes is a plus
- Strong communication and collaboration skills

## Responsibilities

You will build and optimize machine learning pipelines for training, deploying, and monitoring recommendation models. Additionally, you will productionize models by orchestrating workflows and ensuring scalable, reliable inference on AWS.

## Requirements

Candidates must have 5+ years of experience with PySpark, ML Ops, AWS, Apache Airflow, Python, and deep learning frameworks. Proven experience in productionizing machine learning models and orchestrating workflows is required.

## FAQ

- **Is this Senior Machine Learning Engineer (All genders) role still open?** It was posted on 2026-08-10. Listings more than 30 days old may no longer be active, so check Zalando's site before applying.
- **Does Zalando offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Zalando's site.
- **Where is this role located?** The listing gives the location as Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: PySpark, ML Ops, AWS, SageMaker, CloudFormation, Apache Airflow, Python, PyTorch, Deep learning, Machine learning, Data quality, Feature stores, Real-time feature engineering, Kubernetes, Recommendation systems, Workflow orchestration.

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## Notes for agents

- Apply on the employer's page (https://zalando.wd3.myworkdayjobs.com/ZalandoSiteWD/job/Berlin/Senior-Machine-Learning-Engineer--All-genders-_2724647-1). The Stack does not take applications.
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